Coupled Multivehicle Detection and Classification With Prior Objectness Measure

doi:10.1109/TVT.2016.2582926

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 平行智能技术与系统团队

	Coupled Multivehicle Detection and Classification With Prior Objectness Measure
	Yao, Yanjie; Tian, Bin; Wang, Fei-Yue
发表期刊	IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
	2017-03-01
卷号	66 期号:3 页码:1975-1984
文章类型	Article
摘要	Vehicle recognition plays an important role in traffic surveillance systems, advanced driver-assistance systems, and autonomous vehicles. This paper presents a novel approach for multivehicle recognition that considers vehicle space location and classification as a coupled optimization problem. It can speed up the detection process with more accurate vehicle region proposals and can recognize multiple vehicles using a single model. The proposed detector is implemented in three stages: 1) obtaining candidate vehicle locations with prior objectness measure; 2) classifying vehicle region proposals to distinguish the three common types of vehicles (i.e., car, taxi, and bus) by a single convolutional neural network (CNN); and 3) coupling classification results with the detection process, which leads to fewer false positives. In experiments on high-resolution traffic images, our method achieves unique characteristics: 1) It matches the state-of-the-art detection accuracy; 2) it is more efficient in generating a smaller set of high-quality vehicle windows; 3) its searching time is decreased by about 30 times compared with the other two popular detection schemes; and 4) it recognizes different vehicles in each image using a single CNN model with eight layers.
关键词	Convolutional Neural Network (Cnn) Multivehicle Detection Object Proposals Vehicle Classification
WOS标题词	Science & Technology ; Technology
DOI	10.1109/TVT.2016.2582926
关键词[WOS]	VEHICLE DETECTION
收录类别	SCI
语种	英语
项目资助者	National Natural Science Foundation of China(61304200 ; Natural Science Foundation of Guangdong Province, China(2015A030310187) ; 61503380 ; 71232006 ; 61233001)
WOS研究方向	Engineering ; Telecommunications ; Transportation
WOS类目	Engineering, Electrical & Electronic ; Telecommunications ; Transportation Science & Technology
WOS记录号	WOS:000396401400007
引用统计	被引频次：14[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/14418
专题	多模态人工智能系统全国重点实验室_平行智能技术与系统团队
作者单位	Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
第一作者单位	中国科学院自动化研究所
推荐引用方式 GB/T 7714	Yao, Yanjie,Tian, Bin,Wang, Fei-Yue. Coupled Multivehicle Detection and Classification With Prior Objectness Measure[J]. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY,2017,66(3):1975-1984.
APA	Yao, Yanjie,Tian, Bin,&Wang, Fei-Yue.(2017).Coupled Multivehicle Detection and Classification With Prior Objectness Measure.IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY,66(3),1975-1984.
MLA	Yao, Yanjie,et al."Coupled Multivehicle Detection and Classification With Prior Objectness Measure".IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY 66.3(2017):1975-1984.

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